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Is it too Early For 2022 Predictions?

Logistics Viewpoints

With Christmas goods in stores before Halloween this year, I thought there was no reason that we shouldn’t also get a jump on 2022 predictions. The increase in volume will tax already tight last mile delivery capacity, and speed and reliability will either come with a premium price or remain as uneven as it has been over the last two years.

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Supply Chain Predictive Analytics: Benefits, Use Cases and Growth Potentials

ThroughPut

Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.” What Is Predictive Analytics for Supply Chain?

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The Role of Digitisation and Analytics in Supply Chain Resilience

The Logistics & Supply Chain Management Society

The Role of Digitisation and Analytics in Supply Chain Resilience. Analytics for Diversifying the Supply Base. A leading risk platform can fully automate risk assessment and procedures using data and analytics. Digital applications and analytics can support and inform effective decisions.

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Four Ways a TMS Solution Leverages Predictive Analytics

Supply Chain Collaborator

The shrewd operators are leveraging these data to support predictive analyses with the goal of achieving more accurate planning and execution of logistics as product moves through their supply chain. Here are four ways smart TMS users can harness the power of their data for predictive analytics.

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Supply Chain Analytics: Benefits, Challenges & Architecture

SCMDOJO

Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?

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Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain? How should the supplier perform?

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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark. Leveraging AI for demand forecasting means: You can analyze any amount of historical data and current trends from external sources to predict future demands more accurately. You can identify near-term market shifts with greater precision.